沉浸式实时生物反馈与增强期望优化相结合可改善运动学习：一项可行性研究。
Immersive Real-Time Biofeedback Optimized With Enhanced Expectancies Improves Motor Learning: A Feasibility Study.
机构信息
Progressive Health, Smyrna, TN,USA.
Department of Health and Human Performance, The University of Tennessee Chattanooga, Chattanooga, TN,USA.
出版信息
J Sport Rehabil. 2022 Jun 20;31(8):1023-1030. doi: 10.1123/jsr.2021-0226. Print 2022 Nov 1.
CONTEXT
An Optimizing Performance through Intrinsic Motivation and Attention for Learning theory-based motor learning intervention delivering autonomy support and enhanced expectancies (EE) shows promise for reducing cognitive-motor dual-task costs, or the relative difference in primary task performance when completed with and without a secondary cognitive task, that facilitate adaptive injury-resistant movement response. The current pilot study sought to determine the effectiveness of an autonomy support versus an EE-enhanced virtual reality motor learning intervention to reduce dual-task costs during single-leg balance.
DESIGN
Within-subjects 3 × 3 trial.
METHODS
Twenty-one male and 24 female participants, between the ages of 18 and 30 years, with no history of concussion, vertigo, lower-extremity surgery, or lower-extremity injuries the previous 6 months, were recruited for training sessions on consecutive days. Training consisted of 5 × 8 single-leg squats on each leg, during which all participants mimicked an avatar through virtual reality goggles. The autonomy support group chose an avatar color, and the EE group received positive kinematic biofeedback. Baseline, immediate, and delayed retention testing consisted of single-leg balancing under single- and dual-task conditions. Mixed-model analysis of variances compared dual-task costs for center of pressure velocity and SD between groups on each limb.
RESULTS
On the right side, dual-task costs for anterior-posterior center of pressure mean and SD were reduced in the EE group (mean Δ = -51.40, Cohen d = 0.80 and SD Δ = -66.00%, Cohen d = 0.88) compared with the control group (mean Δ = -22.09, Cohen d = 0.33 and SD Δ = -36.10%, Cohen d = 0.68) from baseline to immediate retention.
CONCLUSIONS
These findings indicate that EE strategies that can be easily implemented in a clinic or sport setting may be superior to task-irrelevant AS approaches for influencing injury-resistant movement adaptations.
背景
基于动机和注意力的学习理论的运动学习干预，提供自主性支持和增强的期望（EE），通过优化表现，有望降低认知-运动双重任务成本，即在完成主要任务时与不完成次要认知任务时的相对差异，从而促进适应性的抗损伤运动反应。本研究旨在确定自主性支持与 EE 增强型虚拟现实运动学习干预对减少单腿平衡双重任务成本的效果。
设计
三因素三水平的试验。
方法
21 名男性和 24 名女性参与者，年龄在 18 至 30 岁之间，没有脑震荡、眩晕、下肢手术或下肢损伤的病史，在连续几天进行训练。训练包括每侧 5 次 8 次单腿深蹲，在此期间，所有参与者通过虚拟现实护目镜模仿一个化身。自主性支持组选择一个化身颜色，EE 组则接受积极的运动学生物反馈。基线、即时和延迟保留测试包括在单任务和双重任务条件下进行单腿平衡。混合模型方差分析比较了两组在每条腿上的压力中心速度和 SD 的双重任务成本。
结果
在右侧，与对照组相比，EE 组（前后向压力中心均值 Δ=-51.40，Cohen d=0.80 和 SD Δ=-66.00%，Cohen d=0.88），双重任务成本在前庭-后庭压力中心均值和 SD 方面均降低（均值 Δ=-22.09，Cohen d=0.33 和 SD Δ=-36.10%，Cohen d=0.68），从基线到即时保留。
结论
这些发现表明，在临床或运动环境中易于实施的 EE 策略可能优于任务无关的 AS 方法，对影响抗损伤运动适应具有重要作用。
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